webml-polyfill
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intel
Deprecated, the Web Neural Network Polyfill project has been moved to https://github.com/webmachinelearning/webnn-polyfill
Refer to https://github.com/features/actions
To run int8 model on DNNL, we need to add new operations - [QUANTIZE](https://developer.android.com/ndk/reference/group/neural-networks#group___neural_networks_1ggaabbe492c60331b13038e39d4207940e0a60e0015c8f08ed26d59afe92f728068d) and [DEQUANTIZE](https://developer.android.com/ndk/reference/group/neural-networks#group___neural_networks_1ggaabbe492c60331b13038e39d4207940e0ad4c9300b061d9d14669bd5acdc7538e2)
Models: https://github.com/google/mediapipe/tree/master/mediapipe/models#hand-detection-and-tracking
[NNAPI] Some fully connected tests failed after installing the latest software update on Android 10
**Test Env:** Chromium Version: nightly build 79.0.3917.0(d370896) Platform: Android 10 **Expected Result:** Tests should pass **Actual Result:** Some fully connected tests failed after installing the latest software update on Android...
This issue will depend on DNNL release functionality.
The time for updating backend and compilation time on MPS is much larger than WASM/WebGL
**Test Env:** Chromium Version: nightly build ee68e8f (79.0.3917.0) Platform: macOS 10.14.5 **Expected Result:** The examples should work. **Actual Result:** ``` Received signal 11 SEGV_MAPERR 7fd77c700000 [0x0001193835d9] [0x0001192cdea3] [0x000119383501] [0x7fff68477b5d] [0x00011938cef5]...